Panel Discussion: Beyond the Bot: Finding the Human Voice in AI-Driven Financial Services

  • Balancing automation and the human touch in client interactions
  • Personalization for a new generation of clients (Gen Z & Millennials)
  • What does meaningful personalization look like for digital-native customers?
  • Building trust through transparency and ethical AI use
  • Avoiding the “Robotic” experience: Injecting brand voice and empathy into AI
  • How do we make sure our AI doesn’t just sound smart, but also feels human?
  • Real-world examples where companies got this right—or wrong—and what we can learn.

Deploying Enterprise-Grade Agents Regulators Can Trust

Everyone says they have AI agents. Few trust them in core processes where they can deliver the most impact.

After this session, you will:

  • Learn the hidden cost of fragmented AI solutions
  • Understand the six core capabilities to deploy AI agents that regulators can trust and COOs value
  • See how leading financial services organisations are cutting cost-to-serve and improving customer experiences with agentic AI

Governance, Risk Management & Compliance (GRC) for AI

  • Diagnosis: Speed is not the problem; unquestioned trust is. Opaque, hierarchical “digital feudalism” in APAC finance has produced fragile systems where cultural inertia masquerades as discipline.
  • Risk: Siloed guilds and loss of systems thinking hide AI risk; SaaS/API sprawl and privileged AI agents amplify fragility, a wake-up echoed by JPMorgan’s CISO.
  • Remedy: Recast compliance as an aircraft control tower that coordinates visibility and timing, adopt systems-oriented assurance, map integrations and AI agents, and ensure someone is watching the watchers.
  • Culture and alignment: Flatten governance, modernize guilds, shift from passive compliance to active assurance, and align with DORA-style resilience and third-party oversight to govern systems of action before they fail.

How Enterprise Superintelligence Unlocks Gen AI’s Full Value for Financial Services

  • Enabling a deep understanding of unique business contexts: How AI is helping financial institutions unlock operational advantages and enhance customer experience.
  • Transforming work with AI: How to create an AI-first culture, from automation of low-value tasks to increased productivity and revenue generated per employee.
  • Navigating AI challenges: Addressing the complexities of AI transformation, understanding enterprise context, driving successful change management, and doing it all securely.